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University of Cincinnati

1. Glore, Mary Lee. The Threshold Prior in Bayesian Hypothesis Testing.

Degree: PhD, Arts and Sciences: Mathematics (Statistics), 2014, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546

► Bayesian hypothesis testing provides an attractive alternative that overcomes the difficulties with interpreting the p-value or calibrating it. Bayesian hypothesis testing also provides measures of…
(more)

Subjects/Keywords: Statistics; Bayes; regression; Mathematica; nonlocal; g-prior; time series

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Glore, M. L. (2014). The Threshold Prior in Bayesian Hypothesis Testing. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546

Chicago Manual of Style (16^{th} Edition):

Glore, Mary Lee. “The Threshold Prior in Bayesian Hypothesis Testing.” 2014. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546.

MLA Handbook (7^{th} Edition):

Glore, Mary Lee. “The Threshold Prior in Bayesian Hypothesis Testing.” 2014. Web. 06 Aug 2020.

Vancouver:

Glore ML. The Threshold Prior in Bayesian Hypothesis Testing. [Internet] [Doctoral dissertation]. University of Cincinnati; 2014. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546.

Council of Science Editors:

Glore ML. The Threshold Prior in Bayesian Hypothesis Testing. [Doctoral Dissertation]. University of Cincinnati; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1416570546

University of Cincinnati

2. Xiao, Yang. A Bayesian Subgroup Analysis Using An Additive Model.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2013, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384870215

► In clinical trials, subgroup analysis refers to the experimental design and statistical analysisto investigate the efficacy of a new drug in patient groups defined by…
(more)

Subjects/Keywords: Statistics; Bayesian subgroup analysis; Bayesian model selction; additive model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Xiao, Y. (2013). A Bayesian Subgroup Analysis Using An Additive Model. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384870215

Chicago Manual of Style (16^{th} Edition):

Xiao, Yang. “A Bayesian Subgroup Analysis Using An Additive Model.” 2013. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384870215.

MLA Handbook (7^{th} Edition):

Xiao, Yang. “A Bayesian Subgroup Analysis Using An Additive Model.” 2013. Web. 06 Aug 2020.

Vancouver:

Xiao Y. A Bayesian Subgroup Analysis Using An Additive Model. [Internet] [Doctoral dissertation]. University of Cincinnati; 2013. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384870215.

Council of Science Editors:

Xiao Y. A Bayesian Subgroup Analysis Using An Additive Model. [Doctoral Dissertation]. University of Cincinnati; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384870215

University of Cincinnati

3. Lin, Min. Correlation of Bivariate Frailty Models and a New Marginal Weibull Distribution for Correlated Bivariate Survival Data.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2011, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1307321226

► Survival analysis is widely used in many different areas. The classic models, such as Cox proportional hazards model, are frequently used to model univariate survival…
(more)

Subjects/Keywords: Statistics; frailty model; correlation; bivariate marginal Weibull; loglinear survival model; Bayesian methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Lin, M. (2011). Correlation of Bivariate Frailty Models and a New Marginal Weibull Distribution for Correlated Bivariate Survival Data. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1307321226

Chicago Manual of Style (16^{th} Edition):

Lin, Min. “Correlation of Bivariate Frailty Models and a New Marginal Weibull Distribution for Correlated Bivariate Survival Data.” 2011. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1307321226.

MLA Handbook (7^{th} Edition):

Lin, Min. “Correlation of Bivariate Frailty Models and a New Marginal Weibull Distribution for Correlated Bivariate Survival Data.” 2011. Web. 06 Aug 2020.

Vancouver:

Lin M. Correlation of Bivariate Frailty Models and a New Marginal Weibull Distribution for Correlated Bivariate Survival Data. [Internet] [Doctoral dissertation]. University of Cincinnati; 2011. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1307321226.

Council of Science Editors:

Lin M. Correlation of Bivariate Frailty Models and a New Marginal Weibull Distribution for Correlated Bivariate Survival Data. [Doctoral Dissertation]. University of Cincinnati; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1307321226

University of Cincinnati

4. Ding, Lili. Bayesian Frailty Models for Correlated Interval-Censored Survival Data.

Degree: PhD, Arts and Sciences : Mathematical Sciences, 2010, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1267454031

► Interval-censored time to event data occur in survival analysis when the event time is only known to fall into an interval and these intervals often…
(more)

Subjects/Keywords: Statistics; Bayesian; Frailty; Interval-censored; Puberty

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ding, L. (2010). Bayesian Frailty Models for Correlated Interval-Censored Survival Data. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1267454031

Chicago Manual of Style (16^{th} Edition):

Ding, Lili. “Bayesian Frailty Models for Correlated Interval-Censored Survival Data.” 2010. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1267454031.

MLA Handbook (7^{th} Edition):

Ding, Lili. “Bayesian Frailty Models for Correlated Interval-Censored Survival Data.” 2010. Web. 06 Aug 2020.

Vancouver:

Ding L. Bayesian Frailty Models for Correlated Interval-Censored Survival Data. [Internet] [Doctoral dissertation]. University of Cincinnati; 2010. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1267454031.

Council of Science Editors:

Ding L. Bayesian Frailty Models for Correlated Interval-Censored Survival Data. [Doctoral Dissertation]. University of Cincinnati; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1267454031

University of Cincinnati

5. Li, Dandan. On Multiplicity Adjustment in Bayesian Variable Selection and An Objective Bayesian Analysis of a Crossover Design.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2014, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396453837

► Multiplicity is a common problem in multiple testing for both traditional and Bayesian approaches. The first part of this dissertation considers certain issues relating to…
(more)

Subjects/Keywords: Statistics; multiplicity adjustment; variable selection; objective Bayesian; crossover design

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Li, D. (2014). On Multiplicity Adjustment in Bayesian Variable Selection and An Objective Bayesian Analysis of a Crossover Design. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396453837

Chicago Manual of Style (16^{th} Edition):

Li, Dandan. “On Multiplicity Adjustment in Bayesian Variable Selection and An Objective Bayesian Analysis of a Crossover Design.” 2014. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396453837.

MLA Handbook (7^{th} Edition):

Li, Dandan. “On Multiplicity Adjustment in Bayesian Variable Selection and An Objective Bayesian Analysis of a Crossover Design.” 2014. Web. 06 Aug 2020.

Vancouver:

Li D. On Multiplicity Adjustment in Bayesian Variable Selection and An Objective Bayesian Analysis of a Crossover Design. [Internet] [Doctoral dissertation]. University of Cincinnati; 2014. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396453837.

Council of Science Editors:

Li D. On Multiplicity Adjustment in Bayesian Variable Selection and An Objective Bayesian Analysis of a Crossover Design. [Doctoral Dissertation]. University of Cincinnati; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1396453837

University of Cincinnati

6. Shen, Rui. A Bayesian Modeling of Monotonic Ordinal Responses with Application to Maturation.

Degree: PhD, Arts and Sciences : Mathematical Sciences, 2009, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258725412

► In this dissertation, A bayesian approach was used to model multinomial ordinal outcomes. Responses without and with misclassication were considered. Transition probability with possible dependence…
(more)

Subjects/Keywords: Statistics; monotonic ordinal response; Bayesian; maturation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Shen, R. (2009). A Bayesian Modeling of Monotonic Ordinal Responses with Application to Maturation. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258725412

Chicago Manual of Style (16^{th} Edition):

Shen, Rui. “A Bayesian Modeling of Monotonic Ordinal Responses with Application to Maturation.” 2009. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258725412.

MLA Handbook (7^{th} Edition):

Shen, Rui. “A Bayesian Modeling of Monotonic Ordinal Responses with Application to Maturation.” 2009. Web. 06 Aug 2020.

Vancouver:

Shen R. A Bayesian Modeling of Monotonic Ordinal Responses with Application to Maturation. [Internet] [Doctoral dissertation]. University of Cincinnati; 2009. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258725412.

Council of Science Editors:

Shen R. A Bayesian Modeling of Monotonic Ordinal Responses with Application to Maturation. [Doctoral Dissertation]. University of Cincinnati; 2009. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1258725412

7. Meng, Xiangxiang. Spectral Bayesian Network and Spectral Connectivity Analysis for Functional Magnetic Resonance Imaging Studies.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2011, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1320681959

► Narrative comprehension is a fundamental cognitive skill that involves the coordination of different functional brain regions. To investigate the network structure among the brain…
(more)

Subjects/Keywords: Statistics; Bayesian Network; Bayesian Model Averaging; Spectral Density Matrix; Spectral Connectivity; Bootstrap; functional Magnetic Resonance Imaging

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Meng, X. (2011). Spectral Bayesian Network and Spectral Connectivity Analysis for Functional Magnetic Resonance Imaging Studies. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1320681959

Chicago Manual of Style (16^{th} Edition):

Meng, Xiangxiang. “Spectral Bayesian Network and Spectral Connectivity Analysis for Functional Magnetic Resonance Imaging Studies.” 2011. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1320681959.

MLA Handbook (7^{th} Edition):

Meng, Xiangxiang. “Spectral Bayesian Network and Spectral Connectivity Analysis for Functional Magnetic Resonance Imaging Studies.” 2011. Web. 06 Aug 2020.

Vancouver:

Meng X. Spectral Bayesian Network and Spectral Connectivity Analysis for Functional Magnetic Resonance Imaging Studies. [Internet] [Doctoral dissertation]. University of Cincinnati; 2011. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1320681959.

Council of Science Editors:

Meng X. Spectral Bayesian Network and Spectral Connectivity Analysis for Functional Magnetic Resonance Imaging Studies. [Doctoral Dissertation]. University of Cincinnati; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1320681959

8. Zou, Yuanshu. Robustifying a Non-Linear Model using Wavelets: A Bayesian Approach with an Application to Pharmacokinetics Modeling.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2013, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378197606

► Parametric models are easy to fit and easy to interpret, however, they may not be sufficientfor modeling data arising from complex phenomenon. Nonparametric models allowflexible…
(more)

Subjects/Keywords: Statistics; robustify; wavelet; bayesian; pharmacokinetics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Zou, Y. (2013). Robustifying a Non-Linear Model using Wavelets: A Bayesian Approach with an Application to Pharmacokinetics Modeling. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378197606

Chicago Manual of Style (16^{th} Edition):

Zou, Yuanshu. “Robustifying a Non-Linear Model using Wavelets: A Bayesian Approach with an Application to Pharmacokinetics Modeling.” 2013. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378197606.

MLA Handbook (7^{th} Edition):

Zou, Yuanshu. “Robustifying a Non-Linear Model using Wavelets: A Bayesian Approach with an Application to Pharmacokinetics Modeling.” 2013. Web. 06 Aug 2020.

Vancouver:

Zou Y. Robustifying a Non-Linear Model using Wavelets: A Bayesian Approach with an Application to Pharmacokinetics Modeling. [Internet] [Doctoral dissertation]. University of Cincinnati; 2013. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378197606.

Council of Science Editors:

Zou Y. Robustifying a Non-Linear Model using Wavelets: A Bayesian Approach with an Application to Pharmacokinetics Modeling. [Doctoral Dissertation]. University of Cincinnati; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378197606

9. Guo, Yixuan. Bayesian Model Selection for Poisson and Related Models.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2015, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439310177

► Poisson model is one of the fundamental discrete models used to model count data in various fields. It assumes that the mean and variance of…
(more)

Subjects/Keywords: Statistics; Model selection; Posterior probability; Jeffreys prior; Generalized Poisson model; Zero-inflated Poisson model; Zero-inflated generalized Poisson model

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Guo, Y. (2015). Bayesian Model Selection for Poisson and Related Models. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439310177

Chicago Manual of Style (16^{th} Edition):

Guo, Yixuan. “Bayesian Model Selection for Poisson and Related Models.” 2015. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439310177.

MLA Handbook (7^{th} Edition):

Guo, Yixuan. “Bayesian Model Selection for Poisson and Related Models.” 2015. Web. 06 Aug 2020.

Vancouver:

Guo Y. Bayesian Model Selection for Poisson and Related Models. [Internet] [Doctoral dissertation]. University of Cincinnati; 2015. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439310177.

Council of Science Editors:

Guo Y. Bayesian Model Selection for Poisson and Related Models. [Doctoral Dissertation]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439310177

10. Li, Qian. Approaches to Find the Functionally Related Experiments Based on Enrichment Scores: Infinite Mixture Model Based Cluster Analysis for Gene Expression Data.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2013, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378113351

► DNA microarray is a widely used high-throughput technology to measure theexpression level of tens of thousands of genes simultaneously. With increasingavailability of microarray genomics data,…
(more)

Subjects/Keywords: Statistics; Microarray data; Clustering Analysis; Dirichlet process mixture model; Infinite Mixture model; Enrichment score; Functional category

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Li, Q. (2013). Approaches to Find the Functionally Related Experiments Based on Enrichment Scores: Infinite Mixture Model Based Cluster Analysis for Gene Expression Data. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378113351

Chicago Manual of Style (16^{th} Edition):

Li, Qian. “Approaches to Find the Functionally Related Experiments Based on Enrichment Scores: Infinite Mixture Model Based Cluster Analysis for Gene Expression Data.” 2013. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378113351.

MLA Handbook (7^{th} Edition):

Li, Qian. “Approaches to Find the Functionally Related Experiments Based on Enrichment Scores: Infinite Mixture Model Based Cluster Analysis for Gene Expression Data.” 2013. Web. 06 Aug 2020.

Vancouver:

Li Q. Approaches to Find the Functionally Related Experiments Based on Enrichment Scores: Infinite Mixture Model Based Cluster Analysis for Gene Expression Data. [Internet] [Doctoral dissertation]. University of Cincinnati; 2013. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378113351.

Council of Science Editors:

Li Q. Approaches to Find the Functionally Related Experiments Based on Enrichment Scores: Infinite Mixture Model Based Cluster Analysis for Gene Expression Data. [Doctoral Dissertation]. University of Cincinnati; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1378113351

11. Ren, Yan. A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2012, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337085531

► In longitudinal studies, we are often interested in simultaneously clustering observations at both subject- and time-levels. Current clustering approaches assume the exchangeability among clustering units,…
(more)

Subjects/Keywords: Statistics; cluster analysis; Bayesian; longitudinal data; Dirichlet process mixture (DPM) model; reversible jump MCMC; Gibbs

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Ren, Y. (2012). A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337085531

Chicago Manual of Style (16^{th} Edition):

Ren, Yan. “A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data.” 2012. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337085531.

MLA Handbook (7^{th} Edition):

Ren, Yan. “A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data.” 2012. Web. 06 Aug 2020.

Vancouver:

Ren Y. A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data. [Internet] [Doctoral dissertation]. University of Cincinnati; 2012. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337085531.

Council of Science Editors:

Ren Y. A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data. [Doctoral Dissertation]. University of Cincinnati; 2012. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337085531

12. Li, Xia. A Bayesian Hierarchical Model for Studying Inter-Occasion and Inter-Subject Variability in Pharmacokinetics.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2011, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1296592410

► This dissertation includes two parts: developing a new model for individual pharmacokinetics (PK) and applying a Bayesian three-stage hierarchical model to population PK. As…
(more)

Subjects/Keywords: Statistics; Bayesian three-stage hierarchical model; population pharmacokinetics; Interoccasion variability; compartment modeling; piecewise absorption; Gibbs sampling and Metropolis-Hasting

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Li, X. (2011). A Bayesian Hierarchical Model for Studying Inter-Occasion and Inter-Subject Variability in Pharmacokinetics. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1296592410

Chicago Manual of Style (16^{th} Edition):

Li, Xia. “A Bayesian Hierarchical Model for Studying Inter-Occasion and Inter-Subject Variability in Pharmacokinetics.” 2011. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1296592410.

MLA Handbook (7^{th} Edition):

Li, Xia. “A Bayesian Hierarchical Model for Studying Inter-Occasion and Inter-Subject Variability in Pharmacokinetics.” 2011. Web. 06 Aug 2020.

Vancouver:

Li X. A Bayesian Hierarchical Model for Studying Inter-Occasion and Inter-Subject Variability in Pharmacokinetics. [Internet] [Doctoral dissertation]. University of Cincinnati; 2011. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1296592410.

Council of Science Editors:

Li X. A Bayesian Hierarchical Model for Studying Inter-Occasion and Inter-Subject Variability in Pharmacokinetics. [Doctoral Dissertation]. University of Cincinnati; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1296592410

13. Chen, Chen. Bayesian Analyses of Mediational Models for Survival Outcome.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2011, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313684054

► This dissertation focuses on Bayesian mediation analysis for survival outcome. It consistsof three parts. The first part of this dissertation is Bayesian semi-parametric mediationanalysis for…
(more)

Subjects/Keywords: Mathematics; Bayesian; Mediation; Survival Outcome; Incomplete; longitudinal

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Chen, C. (2011). Bayesian Analyses of Mediational Models for Survival Outcome. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313684054

Chicago Manual of Style (16^{th} Edition):

Chen, Chen. “Bayesian Analyses of Mediational Models for Survival Outcome.” 2011. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313684054.

MLA Handbook (7^{th} Edition):

Chen, Chen. “Bayesian Analyses of Mediational Models for Survival Outcome.” 2011. Web. 06 Aug 2020.

Vancouver:

Chen C. Bayesian Analyses of Mediational Models for Survival Outcome. [Internet] [Doctoral dissertation]. University of Cincinnati; 2011. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313684054.

Council of Science Editors:

Chen C. Bayesian Analyses of Mediational Models for Survival Outcome. [Doctoral Dissertation]. University of Cincinnati; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313684054

14. Liu, Jinzhong. Bayesian Inference for Treatment Effect.

Degree: PhD, Arts and Sciences: Mathematical Sciences, 2017, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504803668961964

► Evaluation of overall treatment effect and heterogeneity in treatment effect is of interest in both randomized clinical trials and in observational studies. In this thesis,…
(more)

Subjects/Keywords: Statistics; Bayesian; Subgroup analysis; Causal inference; Gaussian process; Selection bias

Record Details Similar Records

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^{th} Edition):

Liu, J. (2017). Bayesian Inference for Treatment Effect. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504803668961964

Chicago Manual of Style (16^{th} Edition):

Liu, Jinzhong. “Bayesian Inference for Treatment Effect.” 2017. Doctoral Dissertation, University of Cincinnati. Accessed August 06, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504803668961964.

MLA Handbook (7^{th} Edition):

Liu, Jinzhong. “Bayesian Inference for Treatment Effect.” 2017. Web. 06 Aug 2020.

Vancouver:

Liu J. Bayesian Inference for Treatment Effect. [Internet] [Doctoral dissertation]. University of Cincinnati; 2017. [cited 2020 Aug 06]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504803668961964.

Council of Science Editors:

Liu J. Bayesian Inference for Treatment Effect. [Doctoral Dissertation]. University of Cincinnati; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1504803668961964